anielsen001

Remove photo EXIF metadata with `exiftool`

```bash
exiftool -EXIF= <filename>
```

anielsen001

# this is a simple example of how to parse an Aranet4 CO2 sensor and plot the data using Julia

using Dates
using DataFrames
using CSV
using Plots
plotly()

fname = "Aranet4 017E9_2020-12-10T05_04_41.csv"

anielsen001

# example of using xargs to find files and sending files to a shell command with complicated file parsing
ls *mp4 | xargs  -I{} sh -c 'base=$(basename $1 .mp4) ; ffmpeg -i "$1" -vcodec copy -an "${base}"_noaudio.mp4' -- {}

anielsen001

[adsbx]

api_key = 

[search]

lat = 
lon = 
dist = 

anielsen001

import numpy as np
from matplotlib.pylab import plt
plt.ion()

def to_cplx( r ):
    c = ( r[0::2]-127.5 ) + ( r[1::2]-127.5 )*1.0J
    return c

d = np.fromfile( 'file2019-11-17-21', dtype=np.uint8, count = 2**32 )

anielsen001

#!/usr/bin/env python3

import multiprocessing as mp

SENTINEL = None

dat = range(10)
rets = []

def function( *args ):

anielsen001

"""
Permeabilities can be found here:
https://www.engineeringtoolbox.com/permeability-d_1923.html

Resistivity can be found here:
http://hyperphysics.phy-astr.gsu.edu/hbase/Tables/rstiv.html

"""

import numpy as np

anielsen001

# this is a python version of the wideband ambiguity function. A matlab version that it was ported from is below.
# https://dsp.stackexchange.com/questions/51372/how-to-calculate-the-ambiguity-function

import numpy as np
from scipy.interpolate import interp1d
from matplotlib import pylab as plt

tb = -1
tend = 1
dilation = 0.8

anielsen001

# Example code for parsing sensor log files from Andriod apps

import pandas as pd

# SensorDataLogger
# https://play.google.com/store/apps/details?id=es.terrik.SensorLogger
# 'a' and 'b' are empty colums

date_parser = lambda x: pd.datetime.strptime( x, "%Y-%m-%d_%H-%M-%S.%f" )

anielsen001

Target Ubunutu 16.04

Dependencies

cython

pip3 install cython

proj